We use inference about population parameters to estimate the sample statistics.

Qualitative data represent categorical or attributive or classified information.

Quantitative variables are measured on an ordinal, interval, or ratio scale.

Discrete data refers to numerical values over an interval resulting from measurement process.

Inferential statistics involves methods of organizing, picturing, and summarizing information from a sample of a population.

Descriptive statistics involves methods of using information obtained from a sample of a populations to draw conclusion regarding the populations.

Parametric tests does not require background information about the population distributions.

Non-parametric tests are useful when the data show a skewed distribution.

Qualitative variables are measured on a nominal scale.

Mark all qualitative data from the followings:

Mark all quantitative data from the followings:

Characteristics and features of a parametric test:

Characteristics and features of a non parametric test:

Measures of central tendency include: